Update app.py

Vision-Langauge-Models --> Vision-Language-Models

app.py

@@ -95,7 +95,7 @@ with gr.Blocks() as demo:
 [website](https://pivot-prompt.github.io/)
 [view on huggingface](https://huggingface.co/spaces/pivot-prompt/pivot-prompt-demo/)
 
-The demo below showcases a version of the PIVOT algorithm, which uses iterative visual prompts to optimize and guide the reasoning of Vision-Langauge-Models (VLMs).
+The demo below showcases a version of the PIVOT algorithm, which uses iterative visual prompts to optimize and guide the reasoning of Vision-Language-Models (VLMs).
 Given an image and a description of an object or region, 
 PIVOT iteratively searches for the point in the image that best corresponds to the description.
 This is done through visual prompting, where instead of reasoning with text, the VLM reasons over images annotated with sampled points,